Python ValueError:无法将大小为 30470400 的数组重塑为形状 (50,1104,104)
声明:本页面是StackOverFlow热门问题的中英对照翻译,遵循CC BY-SA 4.0协议,如果您需要使用它,必须同样遵循CC BY-SA许可,注明原文地址和作者信息,同时你必须将它归于原作者(不是我):StackOverFlow
原文地址: http://stackoverflow.com/questions/42947298/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
ValueError: cannot reshape array of size 30470400 into shape (50,1104,104)
提问by Bananaboy99
I am trying to run threw this Tutorial http://emmanuelle.github.io/segmentation-of-3-d-tomography-images-with-python-and-scikit-image.html
我试图运行抛出这个教程 http://emmanuelle.github.io/segmentation-of-3-d-tomography-images-with-python-and-scikit-image.html
where I want to do a Segmentation of 3-D tomography images with Python.
我想用 Python 对 3-D 断层扫描图像进行分割。
I'm struggling directly in the beginning, with reshaping the image.
我一开始就直接在挣扎,重塑形象。
This is the code:
这是代码:
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import time as time
data = np.fromfile('/data/data_l67/dalladas/Python3/Daten/Al8Cu_1000_g13_t4_200_250.vol', dtype=np.float32)
data.shape
(60940800,)
data.reshape((50,1104,104))
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) in () ----> 1 data.reshape((50,1104,104))
ValueError: cannot reshape array of size 30470400 into shape (50,1104,104)
-------------------------------------------------- ------------------------- ValueError Traceback (最近一次调用最后一次) in () ----> 1 data.reshape((50,1104 ,104))
ValueError:无法将大小为 30470400 的数组重塑为形状 (50,1104,104)
Can somebody help me out?
有人可以帮我吗?
回答by Miriam Farber
It seems that there is a typo, since 1104*1104*50=60940800
and you are trying to reshape to dimensions 50,1104,104
. So it seems that you need to change 104 to 1104.
似乎有一个错字,因为1104*1104*50=60940800
你正试图重塑到维度50,1104,104
。所以看起来你需要把104改成1104。
回答by ajithvd
data.reshape((50,1104,-1))
works for me
为我工作
回答by NSVR
In Matrix terms no of elements always equal to product of no of rows and columns. Here this condition is not matching
在矩阵术语中,元素数总是等于行数和列数的乘积。这里这个条件不匹配